A symptom network approach to schizophrenia in the CATIE study: processing speed as the central cognitive impairment. [PDF]
BJPsych OpenBuchwald K +4 more
europepmc +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Advanced Science, EarlyView.Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
A Statistical Mechanics Model to Decode Tissue Crosstalk During Graft Formation
Advanced Science, EarlyView.We introduce a statistical mechanics framework to decode the genomic crosstalk governing plant grafting. By integrating evolutionary game theory with transcriptomics, we reconstruct idopNetworks (informative, dynamic, omnidirectional, and personalized networks) that map scion–rootstock interactions.
Ang Dong +4 more
wiley +1 more source
A comparison of bayesian methods for haplotype reconstruction from population genotype data.
American Journal of Human Genetics, 2003 M. Stephens, P. Donnelly
semanticscholar +1 more source
Redefining the Health Risk of Battery Materials Through a Biologically Transformed Metal Mixture
Advanced Science, EarlyView.Inhaled NCM particles undergo lysosomal degradation, releasing complex ion mixtures that induce systemic impact. The impact is determined by a critical balance between antagonistic Ni‐Co interactions and synergistic Mn effects. To capture these complexities in risk assessment, we develop an IAI model, ensuring a more accurate quantitative risk ...
Ze Zhang +11 more
wiley +1 more source
On Bayesian problem-solving: helping Bayesians solve simple Bayesian word problems [PDF]
Frontiers in Psychology, 2015 Sirota, Miroslav +3 more
openaire +5 more sources
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
Advanced Science, EarlyView.The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
An Uncertainty-Aware Bayesian Deep Learning Method for Automatic Identification and Capacitance Estimation of Compensation Capacitors. [PDF]
Sensors (Basel)Wang T, Wang P.
europepmc +1 more source
Customizing Tactile Sensors via Machine Learning‐Driven Inverse Design
Advanced Science, EarlyView.ABSTRACT Replicating the sophisticated sense of touch in artificial systems requires tactile sensors with precisely tailored properties. However, manually navigating the complex microstructure‐property relationship results in inefficient and suboptimal designs.
Baocheng Wang +15 more
wiley +1 more source